Sneha

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Sneha

Sneha

@Sneha_TechAI

Daily drops on Al, tech tools, automation, and creator growth ||Al Enthusiast | AI & Tech Content Creator|| Dm for collaboration:[email protected]

Indore, Madhya Pradesh เข้าร่วม Mayıs 2026
149 กำลังติดตาม139 ผู้ติดตาม
ทวีตที่ปักหมุด
Sneha
Sneha@Sneha_TechAI·
This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me @Sneha_TechAI I can DM you
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Zenith_Ai
Zenith_Ai@Alam_coder·
🚨 Most people think prompting is the secret to getting great results from Claude. It's not. Prompting is only 1 of 8 powerful features — and arguably the least impactful. The real advantage comes from using the entire Claude ecosystem. Here's the complete breakdown 👇 1️⃣ Setup • Create a custom profile and writing style • Save instructions you use repeatedly • Enable memory for personalized responses • Organize and pin your most-used workflows 2️⃣ Models • Choose the right model for the task • Use faster models for simple work • Switch to reasoning models for complex thinking • Compare outputs across models 3️⃣ Prompting • Start with your goal • Define tone, format, and constraints • Break large tasks into smaller steps • Include examples of your ideal output 4️⃣ Ask User Tool • Claude asks clarifying questions before working • Reduces misunderstandings and revisions • Validates assumptions from the start 5️⃣ Connectors • Connect Google Drive, Slack, Notion, and GitHub • Access files and documents directly • Work across multiple data sources in one chat 6️⃣ Projects • Create dedicated workspaces for different tasks • Store templates, instructions, and resources • Keep knowledge organized and reusable • Maintain context across conversations 7️⃣ Artifacts • Build documents, spreadsheets, charts, and code • Prototype apps and presentations • Collaborate and iterate in real time 8️⃣ Advanced Workflows • Chain prompts into repeatable systems • Create reusable AI playbooks • Automate workflows with integrations • Combine all features for maximum leverage Most users are still asking Claude one question at a time. Power users build systems. That's where the real productivity gains happen. P.S. We've compiled 200+ Claude Code hacks used by top AI builders. ✅ Follow ✅ @Alam_coder Save this post ✅ Repost to your network ✅ Join our AI Community Comment "CLAUDE" and I'll send it to you.
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Sneha@Sneha_TechAI·
PROMPT 9 - The Assumption Killer "List every assumption that the MAJORITY of these papers share but never explicitly test or justify. For each assumption: - State it clearly - Name 1-2 papers that rely on it most - Explain what would happen to the field if the assumption turned out to be wrong" This is how paradigm-shifting papers get written.
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Sneha@Sneha_TechAI·
PROMPT 8 - The "So What" Test Run this last. Every time. "Pretend I have to explain this entire body of research to a smart non-expert in 5 minutes. Give me: 1. The one-sentence version of what this field has proven 2. The one honest admission of what it still doesn't know 3. The single real-world implication that matters most No jargon. No hedging. No academic throat-clearing."
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Sneha@Sneha_TechAI·
🚨 BREAKING: Research just became 10x faster. Claude can now turn dozens of academic papers into clear, structured insights — like a top-tier researcher. No more overwhelm. Just clarity. Here are 9 prompts to get straight to the point 👇 Bookmark this 🔖
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Nexven Ai
Nexven Ai@PrimeWisdo50655·
Level up your life, one page at a time 📚✨ Self-development is not a choice, it’s a lifestyle.
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Aman
Aman@aiwithaman·
CLAUDE + YouTube = $$$$ CLAUDE + YouTube = $$$$ CLAUDE + YouTube = $$$$ No degree. No camera. No editing skills. Even a 15-year-old can do this. I'm going to show you exactly how. 9 prompts that print money on YouTube 👇
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Harsh Pawar
Harsh Pawar@HarshBisen143·
Deleting this in 48 hours. I’m finally giving away the exact Claude prompts I use to create eBooks that generates $8,000–$10,000/month in royalties. Comment “Claude” and I’ll DM you the blueprint for FREE. You must be following me to receive the DM. for next 48 hours only.
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David Marco💡
David Marco💡@David_TornAI·
Most people ask: “Which AI model is the best?” The better question is: “Which AI model is best for this specific task?” Because there is no single AI model that wins at everything. Different models shine in different situations: 🔍 Perplexity → Research and fact-finding 💻 Claude → Long documents, deep analysis, and coding 📂 Gemini → Perfect if your workflow lives inside Google 🔒 Llama → Great when privacy, customization, and control matter ⚡ ChatGPT → The best all-around daily assistant for most people The biggest mistake? Using one AI model for every task. That's like using the same app for writing, design, meetings, research, and coding. Can it work? Sure. Is it the smartest approach? Not always. You don't need every AI tool on the market. You just need the right tool at the right time. That's when AI stops being another browser tab and starts becoming a real competitive advantage. 👇 Which AI model do you use the most right now? P.S. Save this cheat sheet before your next AI project.
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Chidanand Tripathi
Chidanand Tripathi@thetripathi58·
I've been watching my coding agents in Cursor and Claude write entire apps in minutes, and then I still have to go set up the database, add auth, deploy it, handle storage. I become the slowest part of my own process. @insforge is the first platform I've seen that lets agents handle the whole thing. Not just write code, but set up databases, add auth, push it live, run servers. This is what building with AI should feel like. The current way where AI writes code and then stops makes no sense when it could just finish the job.
InsForge@insforge

We’re building the agent-native alternative to AWS, but it's actually good. - 33,000+ projects created (10% WoW growth) - 2x weekly active projects (2000 → 4000+) - 11,000+ GitHub stars (5x in the last 3 months) - faster than React, Supabase, and Linux Introducing InsForge ↓

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Queen Isabell
Queen Isabell@Queen_1o1·
Your coding agent read the README. TestSprite looked at the actual product. That's the difference. One reasons about the application. The other interacts with it. By the time TestSprite generates a test plan, it has already explored workflows, discovered user paths, and validated behavior inside the product itself. Software teams don't need another model making predictions. They need proof. That's why this approach stands out. For further more updates : 🌐 testsprite.com
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Seerat Fatima
Seerat Fatima@SeeratFatima112·
I watched a PhD student use NotebookLM to do in 3 hours what took me 3 months. I asked him how. He showed me his setup. I have not studied the same way since. Here is exactly what he did. He did not use NotebookLM as a search engine. He did not type questions like "explain this concept." He uploaded an entire field. 12 textbooks. 40 research papers. Every review article published in the last 5 years on his topic. All uploaded at once. Into a single notebook. Then he asked one question that changed how I think about learning: "If you could only teach this subject using 7 sentences — one for each core idea — what would they be?" Not a summary. Not an overview. Seven sentences. For the entire field. NotebookLM produced them. He read them. He asked a follow-up: "For each sentence, what is the single experiment or paper that proved it was true?" Now he had the skeleton of an entire field — and the exact evidence underneath each bone. Then he did something nobody told me about. He uploaded his own notes alongside the source material. Then asked: "Where am I wrong? What have I misunderstood compared to what the literature actually says?" The system found three misconceptions he had carried for two years. Two of them would have cost him his PhD defense if they had gone uncorrected. He called this the Misconception Audit. He runs it on every subject before any exam, any paper submission, any conference presentation. Then the final step. "Generate 10 questions a hostile expert would ask someone who claims to understand this field. Then answer each one using only the sources I uploaded." He was not studying to pass. He was studying to survive interrogation by the smartest people in the room. He passed his qualifying exam on a subject he had started studying 11 days before. I have been studying the wrong way my entire life. Here is his exact setup if you want to replicate it: 1.Upload the entire field — not one source 2. Ask for the 7 core sentences 3.Find the evidence under each one 4.Run the Misconception Audit on your own notes Survive the hostile expert interrogation The information was always available. The framing was the unlock. He passed his qualifying exam on a subject he had started studying 11 days before. I have been studying the wrong way my entire life. Here is his exact setup if you want to replicate it: 1.Upload the entire field — not one source 2. Ask for the 7 core sentences 3.Find the evidence under each one 4.Run the Misconception Audit on your own notes Survive the hostile expert interrogation The information was always available. The framing was the unlock.
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Sandeep Jain
Sandeep Jain@sjsandeep_jain·
Most people are paying for AI courses. Anthropic is giving away 13 of them for FREE. 🚀 No fluff. No hype. Just practical AI skills taught by the company behind Claude. Here’s the complete list: Claude 101 lnkd.in/gCPUQsRg AI Fluency: Frameworks & Foundations lnkd.in/gS6ceZ_M Introduction to Agent Skills lnkd.in/g_wWNiEb Building with the Claude API lnkd.in/gDr5K_B4 Claude Code in Action lnkd.in/g9wWZbK9 Introduction to Model Context Protocol (MCP) lnkd.in/gAj5HqMY MCP: Advanced Topics lnkd.in/g3eDwBFY AI Fluency for Students lnkd.in/gKKujHGG AI Fluency for Educators lnkd.in/gVcKnuhA Teaching AI Fluency lnkd.in/g9P4gJFM AI Fluency for Nonprofits lnkd.in/gpsm_BVf Claude with Amazon Bedrock lnkd.in/gbfPjSFt Claude with Google Vertex AI lnkd.in/gvVgB4Ub The gap between AI users and AI builders is getting wider every day. Most people will spend hours watching random videos. A few will spend a few hours learning directly from Anthropic. Guess who wins. 📌 Bookmark this thread ♻️ Repost so others don't miss it 💬 Comment "CLAUDE" if this was helpful ➕ Follow for more free AI courses, agents, MCP, and automation resources
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Alina Ai
Alina Ai@Alina_with_Ai·
🔊 BREAKING: Claude can now help you CREATE AND SELL your first digital product in one weekend generating $500+ revenue.📁 For free. Here are 7 prompts to launch PRODUCTS:📌
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